Connect with us

Technology

Automotive AI Foundation Model Technology and Application Trends Report 2024: AI Foundation Models Evolve Rapidly, Bringing New Opportunities

Published

on

DUBLIN, March 6, 2024 /PRNewswire/ — The “Automotive AI Foundation Model Technology and Application Trends Report, 2023-2024” report has been added to ResearchAndMarkets.com’s offering.

Since 2023 ever more vehicle models have begun to be connected with foundation models, and an increasing number of Tier1s have launched automotive foundation model solutions. Especially Tesla’s big progress of FSD V12 and the launch of SORA have accelerated implementation of AI foundation models in cockpits and intelligent driving.

In February 2023, Tesla FSD v12.2.1, which adopts an end-to-end autonomous driving model, began to be pushed in the United States, not just to employees and testers. According to the feedback from the first customers, FSD V12 is quite powerful, allowing ordinary people who previously did not believe in and use autonomous driving to dare to use FSD. For example, Tesla FSD V12 can bypass puddles on roads. A Tesla engineer commented: this kind of driving approach is difficult to implement with explicit code, but Tesla’s end-to-end approach makes it almost effortlessly.

The development of AI foundation models for autonomous driving can be divided into four phases. 

Phase 1 uses a foundation model (Transformer) at the perception level.Phase 2 is modularization, with foundation models used in perception, planning & control and decision.Phase 3 is end-to-end foundation models (one ‘end’ is raw data from sensors, and the other ‘end’ directly outputs driving actions).Phase 4 is about heading from vertical AI to artificial general intelligence (AGI’s world model).

Most companies are now in Phase 2, while Tesla FSD V12 is already in Phase 3. Other OEMs and Tier1s have followed up with the end-to-end foundation model FSD V12. On January 30, 2024, Xpeng Motor announced that its end-to-end model will be fully available to vehicles in the next step. It is known that NIO and Li Auto will also launch “end-to-end based” autonomous driving models in 2024.

FSD V12’s driving decisions are generated by an AI algorithm. It uses end-to-end neural networks trained with massive video data to replace more than 300,000 lines of C++ code. FSD V12 provides a new path that needs to be verified. If it is feasible, it will have a disruptive impact on the industry.

On February 16, OpenAI introduced text-to-video model SORA, signaling the wide adoption of AI video applications. SORA not only supports generation of up to 60-second videos from texts or images, but it well outperforms previous technologies in capabilities of video generation, complex scenario and character generation, and physical world simulation.

Through vision both SORA and FSD V12 enable AI to understand and even simulate the real physical world. Elon Mask believes that FSD 12 and Sora are just two of the fruits of AI’s ability to recognize and understand the world through vision, and FSD is ultimately used for driving behaviors, and Sora is used to generate videos.

The high popularity of SORA is further evidence of the rationality of FSD V12. Musk said ‘Tesla generative video from last year’.

AI foundation models evolve rapidly, bringing new opportunities.

In recent three years foundation models for autonomous driving have undergone several evolutions, and the autonomous driving systems of leading automakers must be rewritten almost every year, which also provides entry opportunities for late entrants.

At CVPR 2023, UniAD, an end-to-end autonomous driving algorithm jointly released by SenseTime, OpenDriveLab and Horizon Robotics, won the 2023 Best Paper.

In early 2024, Waytous’ technical team and the Institute of Automation Chinese Academy of Sciences jointly proposed GenAD, the industry’s first generative end-to-end autonomous driving model which combines generative AI and end-to-end autonomous driving technology. This technology is a disruption to UniAD progressive process end-to-end solution, and explores a new end-to-end autonomous driving mode. The key is to using generative AI to predict temporal evolution of the vehicle and surroundings in past scenarios.

In February 2024, Horizon Robotics and Huazhong University of Science and Technology proposed VADv2, an end-to-end driving model based on probabilistic planning. VADv2 takes multi-view image sequences as input in a streaming manner, transforms sensor data into environmental token embeddings, outputs the probabilistic distribution of action, and samples one action to control the vehicle. Using only camera sensors, VADv2 achieves state-of-the-art closed-loop performance in CARLA Town05 benchmark test, much better than all existing approaches. It runs stably in a fully end-to-end manner, even without rule-based wrapper.

On the Town05 Long benchmark, VADv2 achieved a Drive Score of 85.1, a Route Completion of 98.4, and an Infraction Score of 0.87, as shown in Tab. 1. Compared to the previous state-of-the-art method, VADv2 achieves a higher Route Completion while significantly improving Drive Score by 9.0. It is worth noting that VADv2 only utilizes cameras as perception input, while DriveMLM utilizes both cameras and LiDAR. Furthermore, compared to the previous best method which only relies on cameras, VADv2 demonstrates even greater advantages, with a remarkable increase in Drive Score of up to 16.8.

Also in February 2024, the Institute for Interdisciplinary Information Sciences at Tsinghua University and Li Auto introduced DriveVLM (its whole process shown in the figure below). A range of images are processed by a large visual language model (VLM) to perform specific chain of thought (CoT) reasoning to produce driving planning results. This large VLM includes a visual encoder and a large language model (LLM).

Due to limitations of VLMs in spatial reasoning and high computing requirements, DriveVLM team proposed DriveVLM-Dual, a hybrid system that combines advantages of DriveVLM and conventional autonomous driving pipelines. DriveVLM-Dual optionally combines DriveVLM with conventional 3D perception and planning modules, such as 3D object detector, occupancy network, and motion planner, allowing the system to achieve 3D localization and high-frequency planning. This dual-system design, similar to slow and fast thinking processes of human brain, can effectively adapt to changing complexity of driving scenarios.

Key Topics Covered:

1 Classification of Autonomous Driving (AD) Algorithms and Common Algorithm Models
1.1 AD System Classification and Software 2.0
1.2 Baidu AD Algorithm Development History
1.3 Tesla AD Algorithm Development History
1.4 Neural Network Model
1.5 Traditional AD AI Algorithms (Small Model)
1.6 Transformer and BEV (Foundation Model)
1.7 End-to-end Foundation Model Cases

2 Overview of AI Foundation Model and Intelligent Computing Center
2.1 AI Foundation Model
2.2 Application of AI Foundation Model in Automotive
2.3 Autonomous Driving (AD) Multimodal Basic Foundation Model
2.4 Intelligent Computing Center

3 Tesla Algorithm and Foundation Model Analysis
3.1 Algorithm Fusion of CNN and Transformer
3.2 Transformer Turns 2D into 3D
3.3 Occupancy Network, Semantic Segmentation and Time-space Sequence
3.4 LaneGCN and Search Tree
3.5 Data Closed Loop and Data Engine

4 AI Algorithms and Foundation Model Providers
4.1 Haomo.ai
4.2 QCraft
4.3 Baidu
4.4 Inspur
4.5 SenseTime
4.6 Huawei
4.7 Unisound
4.8 iFLYTEK
4.9 AISpeech
4.10 Megvii Technology
4.11 Volcengine
4.12 Tencent Cloud
4.13 Other Companies
4.13.1 Banma Zhixing
4.13.2 ThunderSoft
4.13.3 Horizon Robotics’ End-side Deployment of Foundation Model

5 Foundation Model of OEMs
5.1 Xpeng Motor
5.2 Li Auto
5.3 Geely
5.4 BYD
5.5 GM
5.6 Changan Automobile
5.7 Other Auto Enterprises
5.7.1 GWM: All-round Layout of AI Foundation Model
5.7.2 Chery: EXEED STERRA ES Equipped with Cognitive Foundation Model
5.7.3 GAC
5.7.4 SAIC-GM-Wuling
5.7.5 Mercedes-Benz
5.7.6 Volkswagen
5.7.7 Stellantis
5.7.8 PSA

6 Application Trends of Sora and AI Foundation Model in Automotive
6.1 Analysis of Sora Text-to-Video Foundation Model
6.2 Explanation of Sora’s Underlying Algorithm Architecture
6.3 Generative World Model and Intelligent Vehicle Industry
6.4 Application Trends of AI Foundation Model in Automotive
6.5 AI Foundation Model Requirements for Chips

Companies Profiled

Haomo.aiQCraftBaiduInspurSenseTimeHuaweiUnisoundiFLYTEKAISpeechMegvii TechnologyVolcengineTencent CloudBanma ZhixingThunderSoftHorizon RoboticsXpeng MotorLi AutoGeelyBYDGMDeepal GPTGWMCheryGACSAIC-GM-WulingMercedes-BenzVolkswagenStellantisPSA

For more information about this report visit https://www.researchandmarkets.com/r/o1dfga

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Media Contact: 
Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com

For E.S.T Office Hours Call +1-917-300-0470
For U.S./CAN Toll Free Call +1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716

Logo: https://mma.prnewswire.com/media/539438/Research_and_Markets_Logo.jpg

View original content:https://www.prnewswire.com/news-releases/automotive-ai-foundation-model-technology-and-application-trends-report-2024-ai-foundation-models-evolve-rapidly-bringing-new-opportunities-302081061.html

SOURCE Research and Markets

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

Pillsbury Notice of Data Breach

Published

on

By

NEW YORK, July 18, 2026 /PRNewswire/ — Pillsbury Winthrop Shaw Pittman LLP (“Pillsbury”) was among many law firms targeted by sophisticated social engineering attempts in an incident last year. While the firm quickly detected and blocked the activity, an unauthorized actor was able to access some of the firm’s documents during a short window of time. Pillsbury notified any impacted clients last year and undertook a detailed process to review the accessed documents for personal information. Pillsbury then began notifying individuals whose personal information was affected. That process is now complete, and today, Pillsbury is publishing substitute notice as a final step.

For more information, please visit the substitute notice on our website at https://www.pillsburylaw.com/en/breach-notice.html

View original content to download multimedia:https://www.prnewswire.com/news-releases/pillsbury-notice-of-data-breach-302828892.html

SOURCE Pillsbury Winthrop Shaw Pittman LLP

Continue Reading

Technology

From Remote Racing to Embodied AI: Fibocom and Intedigo Bring 5G Bidirectional Data Transmission into Real-World Applications

Published

on

By

SHANGHAI, July 18, 2026 /PRNewswire/ — From July 17 to 20, Fibocom and Intedigo will jointly present a cross-regional, beyond-visual-line-of-sight (BVLOS) teleoperation demonstration at Booth H3-C408 during the World Artificial Intelligence Conference (WAIC) 2026. Visitors will be able to enter a remote driving cockpit and control a real race car located at HURA PARK in Jiading, Shanghai, steering, accelerating, and braking in real time while experiencing how 5G connectivity enables remote operation.

More than an immersive driving experience, the demonstration provides a live validation of 5G bidirectional data transmission for embodied AI teleoperation. The vehicle continuously sends live track video, vehicle status, and operating data to the remote cockpit, while control commands are transmitted back to the vehicle, creating a closed-loop teleoperation system. Stable, low-latency, and highly reliable connectivity is essential for high-dynamic maneuvers such as high-speed cornering, precision braking, and continuous lane changes.

Developed by Intedigo, the remote driving system connects a real race car with an immersive remote driving cockpit. It supports 1080p@60Hz video transmission, glass-to-glass (G2G) video latency of less than 80 ms, and control latency of less than 10 ms. The demanding racing environment magnifies differences in video continuity and control responsiveness, making communications performance directly perceptible, measurable, and verifiable.

At the joint demonstration, Fibocom’s FM160 5G module provides cellular connectivity for the system. Powered by the Qualcomm Snapdragon™ X62 5G Modem-RF System, the FM160 supports SA and NSA network architectures as well as 3GPP Release 16. On the downlink, it supports NR Carrier Aggregation (NR CA) with bandwidth of up to 120 MHz, delivering peak speeds of up to 3.5 Gbps in NSA mode and 2.5 Gbps in SA mode. On the uplink, it supports UL MIMO and delivers peak speeds of up to 900 Mbps in SA mode. These capabilities support the continuous transmission of HD video and vehicle status data, along with reliable delivery of control commands.

As embodied AI moves into factories, data centers, logistics operations, and industrial parks, robots are becoming increasingly capable of performing tasks autonomously. Yet complex environments, unexpected events, and edge cases still require Human-in-the-Loop (HITL) remote intervention to help ensure safe and reliable operation.

Daniel Liu, CEO of Intedigo, said:

“5G represents the pinnacle of human communications and the starting point of machine communications. In the past, communications connected people to people; in the future, they will connect people to robots and robots to robots. Remote racing is simply the easiest entry point for people to understand this concept. What we are truly validating is a communications system capable of supporting remote collaboration for embodied AI. HURA makes low-latency remote driving a tangible experience, while RoBOX extends this capability to robots and a broader range of intelligent terminals. Together with Fibocom, we hope to enable more machines to receive remote assistance whenever needed while remaining continuously connected and operating reliably.”

Simon Tao, VP of Wireless Solutions Business Group and General Manager of MBB BU at Fibocom, said:

“As embodied AI enters real-world industrial environments, reliable connectivity will become the foundation for telemetry feedback, remote control and operational management. Fibocom’s 5G solutions, represented by FM160, provide the cellular connectivity required for continuous on-site data transmission and reliable control command delivery. Fibocom will continue collaborating with ecosystem partners such as Intedigo to bring cellular connectivity to more robots, autonomous machines and mobile intelligent terminals, enabling embodied AI systems to stay continuously connected and respond reliably in real-world applications.”

From remote race cars to robots, unmanned equipment, and mobile intelligent terminals, 5G is evolving from connecting people to connecting machines. This joint demonstration makes the capabilities of 5G bidirectional data transmission directly perceptible, experiential, and verifiable, helping pave the way for embodied AI to scale across real-world applications.
 

About Fibocom

Fibocom, founded in 1999, is China’s first wireless communication module company listed on both the A-share and H-share markets (300638.SZ, 0638.HK). As a global leading provider of wireless communication modules and AI solutions, Fibocom leverages wireless communication and artificial intelligence as its core technologies to provide integrated hardware and software solutions that empower industry applications. These solutions accelerate the transformation from “Connect Everything” to “Intelligent Connectivity” across diverse industries.

Fibocom’s one-stop solutions encompass cellular communication, AI, automotive, and GNSS modules, as well as AI toolchains, supporting industry-side and mainstream large model integration, and providing AI Agent, global connectivity, and cloud services, driving the digital intelligence upgrades in industries such as robotics, consumer electronics, low-altitude economy, intelligent transportation, smart retail, and smart energy.

View original content to download multimedia:https://www.prnewswire.com/news-releases/from-remote-racing-to-embodied-ai-fibocom-and-intedigo-bring-5g-bidirectional-data-transmission-into-real-world-applications-302828996.html

SOURCE Fibocom Wireless Inc.

Continue Reading

Technology

DR. PHONE FIX ANNOUNCES SECOND TRANCHE CLOSING OF NON-BROKERED CONVERTIBLE DEBENTURE UNIT FINANCING

Published

on

By

/NOT FOR DISTRIBUTION TO U.S. NEWSWIRE SERVICES OR FOR DISSEMINATION IN THE UNITED STATES/

EDMONTON, AB, July 18, 2026 /CNW/ — Dr. Phone Fix Canada Corporation (“Dr. Phone Fix” or the “Company”) (TSXV: DPF) is pleased to announce that, further to its news release dated May 19, 2026 and June 24, 2026 (the “Prior News Releases”), it has closed the second tranche of its non-brokered private placement (the “Offering”) of convertible debenture units of the Company (each, a “Unit”). The Company issued 726 Units, at a price of $1,000 per Unit, for aggregate gross proceeds of $726,000. Each Unit is comprised of (i) one $1,000 principal amount unsecured convertible debenture of the Company (a “Convertible Debenture”) and (ii) 3,125 common share (“Common Share”) purchase warrants of the Company (each, a “Warrant”). Additional detail on the Offering, including terms of the Convertible Debentures and Warrants, is set out in the Prior News Releases.

In connection with the Offering, the Company paid a finder’s fee consisting of an aggregate cash fee of $50,820 and issued an aggregate of 317,625 common share purchase warrants of the Company (each, a “Finder’s Warrant”) to certain qualified arm’s length parties. Each Finder’s Warrant is exercisable to acquire one Common Share of the Company at an exercise price of $0.22 prior to the date that is 24 months from the date of issuance.

All securities issued pursuant to the Offering, including any Common Shares issuable upon conversion of the Convertible Debentures or exercise of the Warrants and Finder’s Warrants, are subject to a statutory hold period of four months and one day from the closing of the Offering, in accordance with applicable securities laws and TSX Venture Exchange (the “TSXV”) policies. 

The Offering remains subject to final acceptance of the TSXV.

This news release does not constitute an offer to sell or a solicitation of an offer to buy any of the securities described in this news release in the United States. Such securities have not been, and will not be, registered under the U.S. Securities Act, or any state securities laws, and, accordingly, may not be offered or sold within the United States, or to or for the account or benefit of persons in the United States or “U.S. Persons”, as such term is defined in Regulation S promulgated under the U.S. Securities Act, unless registered under the U.S. Securities Act and applicable state securities laws or pursuant to an exemption from such registration requirements.

About Dr. Phone Fix

Dr. Phone Fix is a national, award-winning, eco-friendly, and customer-centric leader in Canada’s cell phone and electronics repair and certified pre-owned device industry. Founded in 2019, the Company now operates 44 retail locations nationwide through a standardized and scalable operating platform designed to support consistent execution across multiple markets, delivering fast, reliable, and environmentally conscious repair services alongside a curated selection of certified pre-owned devices and premium accessories. Dr. Phone Fix maintains strong partnerships with OEMs and certified suppliers, ensuring consistently high-quality standards across its national footprint. With a focus on responsible device lifecycle management, customer service, and operational discipline, Dr. Phone Fix continues to set the benchmark for device care and resale in Canada.

www.docphonefix.com

NEITHER THE TSXV NOR ITS REGULATION SERVICES PROVIDER (AS THAT TERM IS DEFINED IN THE POLICIES OF THE TSXV) ACCEPTS RESPONSIBILITY FOR THE ADEQUACY OR ACCURACY OF THIS NEWS RELEASE.

Forward-Looking Information and Cautionary Statements

Certain information in this news release constitutes forward-looking statements under applicable securities laws. Any statements that are contained in this news release that are not statements of historical fact may be deemed to be forward-looking statements. Forward-looking statements are often identified by terms such as “may”, “should”, “anticipate”, “expect”, “potential”, “believe”, “intend” or the negative of these terms and similar expressions. Forward-looking statements in this news release include statements relating to: the final acceptance of the Offering by the TSXV; and the expected use of proceeds following the closing of the Offering. Forward-looking information in this news release is based on certain assumptions and expected future events, namely: the Company’s financial condition and development plans do not change as a result of unforeseen events; the TSXV will provide its final acceptance of the Offering; and the Company will be able to obtain the financing required in order to develop and continue its business and operations. These statements involve known and unknown risks, uncertainties and other factors, which may cause actual results, performance or achievements to differ materially from those expressed or implied by such statements, including but not limited to: the Company’s inability to obtain TSXV final acceptance for the Offering; the potential failure to complete the balance of the Offering or to raise the full anticipated gross proceeds; market conditions and investor demand for the Company’s securities; the Company’s inability to deploy the proceeds as currently intended; and general economic and market conditions. Readers are cautioned that the foregoing list is not exhaustive. Readers are further cautioned not to place undue reliance on forward-looking statements, as there can be no assurance that the plans, intentions or expectations upon which they are placed will occur. Such information, although considered reasonable by management at the time of preparation, may prove to be incorrect and actual results may differ materially from those anticipated. Forward-looking statements contained in this press release are expressly qualified by this cautionary statement and reflect the Company’s expectations as of the date hereof and are subject to change thereafter. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, estimates or opinions, future events or results or otherwise or to explain any material difference between subsequent actual events and such forward-looking information, except as required by applicable law.

 

SOURCE Dr. Phone Fix

Continue Reading

Trending